Michael Sawada

2.6k total citations
59 papers, 2.0k citations indexed

About

Michael Sawada is a scholar working on Atmospheric Science, Transportation and Sociology and Political Science. According to data from OpenAlex, Michael Sawada has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 13 papers in Transportation and 10 papers in Sociology and Political Science. Recurrent topics in Michael Sawada's work include Geology and Paleoclimatology Research (14 papers), Urban Transport and Accessibility (12 papers) and Health disparities and outcomes (9 papers). Michael Sawada is often cited by papers focused on Geology and Paleoclimatology Research (14 papers), Urban Transport and Accessibility (12 papers) and Health disparities and outcomes (9 papers). Michael Sawada collaborates with scholars based in Canada, Netherlands and France. Michael Sawada's co-authors include Konrad Gajewski, André Viau, Daniel Rainham, Ian McDowell, Daniel Krewski, David Atkinson, Elizabeth Kristjansson, Sara S. Wilson, Patrick J. Bartlein and Linda Brubaker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Michael Sawada

56 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Sawada Canada 24 944 409 288 277 188 59 2.0k
Petter Pilesjö Sweden 24 386 0.4× 484 1.2× 56 0.2× 748 2.7× 109 0.6× 112 2.0k
J. E. Whittaker United Kingdom 30 618 0.7× 225 0.6× 55 0.2× 778 2.8× 34 0.2× 74 2.5k
Russell Blong Australia 29 1.0k 1.1× 279 0.7× 21 0.1× 1.1k 3.9× 266 1.4× 91 3.0k
Fang Australia 21 284 0.3× 213 0.5× 49 0.2× 344 1.2× 198 1.1× 356 2.1k
Ashton Shortridge United States 28 243 0.3× 552 1.3× 274 1.0× 762 2.8× 214 1.1× 67 2.4k
Hadas Saaroni Israel 32 1.3k 1.4× 207 0.5× 71 0.2× 2.0k 7.2× 1.2k 6.5× 72 3.6k
Stefan Grab South Africa 28 1.1k 1.2× 392 1.0× 25 0.1× 696 2.5× 71 0.4× 145 2.7k
T.J. Lyons Australia 25 580 0.6× 160 0.4× 213 0.7× 837 3.0× 217 1.2× 80 2.3k
Brian Klinkenberg Canada 25 219 0.2× 584 1.4× 102 0.4× 450 1.6× 43 0.2× 51 1.8k
Daniel E. Horton United States 27 1.9k 2.0× 180 0.4× 45 0.2× 2.1k 7.6× 502 2.7× 63 3.5k

Countries citing papers authored by Michael Sawada

Since Specialization
Citations

This map shows the geographic impact of Michael Sawada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sawada more than expected).

Fields of papers citing papers by Michael Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Sawada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Sawada. The network helps show where Michael Sawada may publish in the future.

Co-authorship network of co-authors of Michael Sawada

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sawada. A scholar is included among the top collaborators of Michael Sawada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Sawada. Michael Sawada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Knudby, Anders, et al.. (2025). Machine learning approaches to Landsat change detection analysis. Canadian Journal of Remote Sensing. 51(1). 3 indexed citations
2.
Dawson, Jackie, et al.. (2025). Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic. SHILAP Revista de lepidopterología. 8. 100129–100129. 1 indexed citations
3.
Sawada, Michael, Anders Knudby, Tim Ramsay, et al.. (2024). Knowledge, protective behaviours, and perception of Lyme disease in an area of emerging risk: results from a cross-sectional survey of adults in Ottawa, Ontario. BMC Public Health. 24(1). 867–867. 3 indexed citations
4.
Dawson, Jackie, et al.. (2024). Analysis of shipping accident patterns among commercial and non-commercial vessels operating in ice-infested waters in Arctic Canada from 1990 to 2022. Journal of Transport Geography. 121. 104046–104046. 2 indexed citations
5.
6.
Sawada, Michael, Anders Knudby, Tim Ramsay, et al.. (2023). Risk factors for Lyme disease resulting from residential exposure amidst emerging Ixodes scapularis populations: A neighbourhood-level analysis of Ottawa, Ontario. PLoS ONE. 18(8). e0290463–e0290463. 4 indexed citations
7.
Knudby, Anders, et al.. (2023). Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada. PLoS ONE. 18(11). e0292839–e0292839. 4 indexed citations
8.
Sawada, Michael, et al.. (2021). The temporal evolution of income polarization in Canada’s largest CMAs. PLoS ONE. 16(6). e0251430–e0251430. 2 indexed citations
9.
Caulley, Lisa, et al.. (2020). Association between socioeconomic indicators and geographic distribution of vestibular schwannomas in West Scotland: a 15-year review. The Journal of Laryngology & Otology. 134(11). 942–950.
10.
Sawada, Michael, et al.. (2019). Deep mapping gentrification in a large Canadian city using deep learning and Google Street View. PLoS ONE. 14(3). e0212814–e0212814. 75 indexed citations
11.
Caulley, Lisa, et al.. (2017). Geographic distribution of vestibular schwannomas in West Scotland between 2000-2015. PLoS ONE. 12(5). e0175489–e0175489. 9 indexed citations
12.
Sawada, Michael, et al.. (2017). A direct observation method for auditing large urban centers using stratified sampling, mobile GIS technology and virtual environments. International Journal of Health Geographics. 16(1). 6–6. 17 indexed citations
13.
Egan, Mary, et al.. (2015). Very low neighbourhood income limits participation post stroke: preliminary evidence from a cohort study. BMC Public Health. 15(1). 528–528. 19 indexed citations
14.
Sawada, Michael, et al.. (2011). The modifiable areal unit problem (MAUP) in the relationship between exposure to NO2 and respiratory health. International Journal of Health Geographics. 10(1). 58–58. 76 indexed citations
15.
Sawada, Michael, et al.. (2010). The role of spatial representation in the development of a LUR model for Ottawa, Canada. Air Quality Atmosphere & Health. 5(3). 311–323. 11 indexed citations
16.
Rainham, Daniel, Ian McDowell, Daniel Krewski, & Michael Sawada. (2009). Conceptualizing the healthscape: Contributions of time geography, location technologies and spatial ecology to place and health research. Social Science & Medicine. 70(5). 668–676. 173 indexed citations
17.
Sawada, Michael, et al.. (2008). Development of Neighborhoods to Measure Spatial Indicators of Health. 20(2). 43–55. 10 indexed citations
18.
Rainham, Daniel, et al.. (2008). Development of a wearable global positioning system for place and health research. International Journal of Health Geographics. 7(1). 59–59. 58 indexed citations
19.
Kothari, Anita, S. Michelle Driedger, Jason Morrison, et al.. (2008). Mapping as a knowledge translation tool for Ontario Early Years Centres: views from data analysts and managers. Implementation Science. 3(1). 4–4. 16 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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